Hiring for multiple roles :: Urgent requirements :: Total 6 roles at Cleveland, Ohio, USA |
Email: [email protected] |
Hi, Hope you are doing well, Please go through the job description and let me know if you have any profile of bench! ROLE# 1 Role: Sr Data Scientist Location: Cleveland, OH (Onsite from day 1) JOB DESCRIPTION: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience 8 to 10 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure ML etc Experience in Clinical background Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing. Experience with data preprocessing, feature engineering, and dimensionality reduction techniques. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Experience with Azure cloud platform and containerization technologies (e.g., Docker, Kubernetes) is a plus. Familiarity with version control systems (e.g., Git) and agile software development methodologies. Mandatory skills: Python, R, Java, azure, Machine Learning ROLE# 2 Role: Techno Functional Lead (Snowflake) Location: Austin, TX (Onsite from day 1) Job Description : The person should be very good in understanding deep functional aspects of snowflake. Should be able to understand the snowflake modules architecture and codes/queries of the existing implementation. Should be able to take up the new business requirements, do a thorough analysis and identify the impact areas and provide effort estimates to implement the requested business requirement. Will be fully accountable for the impact analysis and effort estimation and would be responsible to drive the team implement the functionality within committed time line. ROLE# 3 Role: Product Manager with Snowflake & AI ML Location: Austin, TX (Onsite from day1) Job Description: Must have skills : Product Management skills Snowflake AIML Communication written and verbal. 5+ years of Relevant experience in a Technical Product Management role, at large scale, hyper growth enterprises. Having successfully delivered product to market by owning entire product lifecycle. Experience creating product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, and leading design discussion keeping end user experience as the north star. Highly analytical demeanor with an ability to make decisions using both quantitative and qualitative data to gauge competing priorities across business units in multiple geographies. Quickly move between contexts, demonstrate agility and focus while continuing to deliver. Prior experience in user research conducting customer/partner/developer interviews to identify their needs. Great presentation, articulation and negotiations skills. Significant experience and proficiency with modern databases (Snowflake/Teradata/AWS/SingleStore, etc.) along with experience on integrating with front end technology stacks. Strong Understanding of the technical architecture of data pipelines, data warehousing, and data management systems and knowledge of data lifecycle design and methodologies Proven expertise in understanding the needs of the data engineers and partnering across Employee Engagement, Engineering and Dev Ops to deliver compelling products that meet those needs. ROLE# 4 Role: Gen AI Architect Location: Houston, TX (Onsite from day 1) Role Specific Responsibility Technical Leadership and Strategy: Establish the technical vision and architecture for generative AI projects. Develop a comprehensive roadmap for integrating generative AI technologies throughout the organization. Identify high-impact opportunities for generative AI across various departments and functions. Innovation and Prototyping: Lead the ideation and prototyping of new generative AI applications, exploring novel use cases, and pushing the boundaries of what's possible with AI. Facilitate the transition of prototypes into scalable, production-ready solutions. Technical Guidance: Provide technical guidance and mentorship to the technical team members, promoting best practices in code quality, design patterns, and algorithm optimization. Lead code reviews and technical discussions to drive excellence in our AI solutions. Develop a deep understanding of customer's data and use that knowledge to develop new and innovative products that leverage the power of Generative AI. Stakeholder Engagement: Communicate effectively with stakeholders, translating complex AI concepts into understandable insights and updates. Gather requirements and feedback to inform project direction and priorities. Ethics and Compliance: Champion ethical AI development practices, ensuring compliance with data privacy laws and ethical guidelines. Promote transparency and fairness in AI models and applications. Analyze the cultural implications of AI adoption and propose adjustments to talent management strategies. Knowledge and Enablement: Stay abreast of the latest advancements in generative AI research, perform proof concepts and share knowledge. Build and curate the central knowledge base for generative AI within the organization. Develop and deliver training programs to equip teams with the knowledge and skills to use generative AI tools effectively. Collaboration and Partnerships: Foster a collaborative environment where different departments work together on generative AI projects. Governance and Ethics: Champion the ethical and responsible use of generative AI within the organization. Develop and implement guidelines and policies to ensure fairness, transparency, and responsible development of AI models. Mitigate potential biases in generative AI outputs. Qualifications: Proven experience leading and managing AI initiatives within an organization. Strong understanding of generative AI technologies, their capabilities, and potential applications. Excellent communication and interpersonal skills to build strong relationships with stakeholders across various departments. Strategic thinking and problem-solving skills to identify opportunities and develop solutions. Passion for innovation and a commitment to staying updated on the latest advancements in generative AI. At least 4 years of hands-on experience in AI and machine learning, with last 2 years on Generative AI. Proficiency in: AI and ML frameworks, Azure AI Stack, RAG, Semantic Kernal, LangChain, Python, React, REST APIs Solid understanding of Azure OpenAI and other leading GenAI models from Anthropic, Meta, Google & Amazon. Experience in designing and implementing enterprise search frameworks. Excellent analytical skills, with the ability to use data to inform product decisions and drive continuous improvement. Strong cross-functional collaboration skills, with the ability to work effectively with engineering, design, data science, and business development teams. Excellent communication skills, with the ability to clearly articulate complex product concepts to both technical and non-technical stakeholders. Proven ability of delivering in a fast-paced environment involving multiple stakeholders Strong commitment to professional client service excellence Ability to coach junior staff. ROLE# 5 Role: Statistician Location : Elk grove, CA (Onsite from day1) About the Role: We are seeking an experienced Statistician to join our team. The ideal candidate possesses a strong background in formal statistical analysis, causal modeling, and explanatory machine learning. You will be instrumental in deriving robust insights from data, moving beyond basic data exploration to apply advanced analytical techniques. Key Responsibilities: Statistical Analysis & Causal Modeling Perform formal statistical analyses to uncover meaningful patterns and relationships. Apply causal modeling techniques to identify cause-and-effect relationships within data. Design and analyze experiments to test hypotheses and validate findings. Data Manipulation & Modeling Use SQL to manipulate large datasets and build reliable data models. Ensure data integrity and optimize data retrieval processes. Programming & Visualization Utilize Python or R for advanced statistical modeling and data visualization. Create clear and compelling visualizations to communicate findings effectively. Interactive Dashboards Develop interactive visualizations and dashboards using Tableau. Present data insights in an accessible and user-friendly format for stakeholders. Communication Translate complex statistical concepts into clear, actionable insights. Collaborate with cross-functional teams to inform decision-making processes. Qualifications: Education: Bachelors or Masters degree in Statistics, Mathematics, Data Science, or a related field. Experience: 5+ years of hands-on experience with Python, SQL, and Tableau used on a weekly basis. Proven experience in probabilistic and statistical modeling, experimental design, and causal inference. Demonstrated ability to move beyond data exploration to derive robust, actionable insights. Technical Skills: Proficiency in SQL for data manipulation and modeling. Advanced skills in Python or R for statistical analysis and visualization. Expertise in creating interactive dashboards with Tableau. Soft Skills: Excellent communication skills with the ability to explain complex analyses to non-technical audiences. Strong problem-solving abilities and attention to detail. Collaborative mindset with the ability to work effectively in a team environment. Additional comments : Excellent communication is a top priority Requires a working knowledge of probability theory and statistical analysis Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years. This role will: Use Tableau to create visualizations Use SQL to manipulate and model data Use python to manipulate and model data; create visualizations; analyze data ROLE# 6 Role: SingleStore DBA with Python Programming Location: Austin, TX (Onsite from day1) Job Summary: We are looking for a skilled SingleStore DBA with Python Programming expertise. The successful candidate will be responsible for managing and maintaining our SingleStore database environment, ensuring its optimal performance, security, and availability. This role involves database performance tuning, monitoring, backup and recovery, and data integrity. The ideal candidate will have a strong background in SingleStore database administration and utilize Python programming skills to develop scripts and tools that automate routine tasks and enhance database efficiency. Key Responsibilities: Install, configure, and maintain SingleStore database systems. Monitor database performance, implement performance tuning, and optimize queries. Ensure high availability and disaster recovery of database systems. Develop, test, and deploy backup and recovery plans. Implement and maintain database security policies and procedures. Create and maintain database documentation, including data models, schemas, and procedures. Develop Python scripts to automate database management tasks and enhance operational efficiency. Troubleshoot and resolve database-related issues and provide support to development teams. Collaborate with other IT professionals and stakeholders to ensure seamless integration of database systems with other applications. Stay updated with the latest industry trends and best practices in database management and Python programming. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience as a Database Administrator, specifically with SingleStore. Strong proficiency in Python programming, with experience in writing scripts for database management and automation. In-depth knowledge of database performance tuning, query optimization, and troubleshooting. Experience with database backup and recovery procedures. Familiarity with database security best practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and manage multiple tasks effectively. Preferred Qualifications: Experience with other RDBMS database systems (e.g., Vertica, MySQL, Oracle). Familiarity with cloud-based database solutions and infrastructure (e.g., AWS). Experience with managing Distributed databases. Experience with DevOps tools and practices. Knowledge of data warehousing and ETL processes Regards , Sakshi Pandey Address : 15 Corporate Pl S, Suite #450, Piscataway Township, NJ 08854 : Sakshi.pandey @intellyk.com| Website : www.intellyk.com Disclaimer: This is not unsolicited mail. Under Bill 1618 Title III passed by the 105th USA Congress this email cannot be considered as spam as long as we include our contact information and an option to be removed from our emailing list. If you have received this message in error or, are not interested in receiving our emails, please accept our apologies. please reply with REMOVE in the subject line. All removal requests will be honored. We sincerely apologize for any inconvenience caused. Keywords: artificial intelligence machine learning rlang information technology golang procedural language California New Jersey Ohio Texas Hiring for multiple roles :: Urgent requirements :: Total 6 roles [email protected] |
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Wed Oct 09 21:12:00 UTC 2024 |