Saransh Inc · 4 months ago
Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role
Weehawken, NJ
Contract
Onsite
Senior Level, Lead/StaffSaransh Inc is seeking a highly skilled and experienced Lead/Senior Machine Learning Engineer to design innovative solutions using agentic systems and large language models. The role involves developing AI solutions, optimizing LLMs, and maintaining data engineering frameworks on Azure while collaborating with cross-functional teams.
EmploymentInformation TechnologyStaffing Agency
Responsibilities
Design, develop, and implement agentic systems for real-time decision-making processes
Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation
Collaborate with stakeholders to architect solutions that align with organizational goals
Build, customize, and fine-tune large language models (LLMs) for diverse business applications
Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization
Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services
Architect and maintain complex data pipelines and frameworks on Azure
Work with relational and non-relational databases to preprocess and manage datasets for AI models
Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows
Write high-quality, scalable Python code for machine learning and data engineering applications
Develop reusable libraries for AI models and data processing workflows
Collaborate with DevOps teams to ensure robust CI/CD pipelines and deploy production-ready solutions in cloud environments
Mentor and guide junior engineers on best practices in data engineering and machine learning
Collaborate with cross-functional teams, including data scientists, product managers, and business analysts
Proactively contribute to strategic roadmaps for AI-powered business solutions
Qualification
Required
Azure Certified AI Practitioner (or equivalent Azure certification in AI and data engineering)
Demonstrable expertise in Python, with advanced knowledge of libraries such as Pandas, NumPy, PyTorch, TensorFlow, and LangChain
Extensive experience designing and building Agentic solutions (e.g., autonomous agents capable of advanced decision-making and orchestration)
Hands-on experience with modeling and deploying LLMs (fine-tuning, prompt engineering, optimization)
Proficiency with Microsoft Azure ecosystem, including services like Azure Machine Learning, OpenAI Service, Cognitive Services, and Databricks
Strong understanding of machine learning, natural language processing (NLP), and generative AI concepts
Familiarity with best practices in data engineering, such as data modeling, schema design, ETL processes, and pipeline optimization
Preferred
Advanced degree (Master's or PhD) in Computer Science, Data Engineering, AI/ML, or a related field
Experience with integrating LLMs into production environments for real-world applications (e.g., chatbots, document summarization, generative design)
Knowledge of distributed computing frameworks (e.g., Spark, Hadoop)
Familiarity with versioning tools (e.g., Git), containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
Company
Saransh Inc
We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management.
Founded in 2008
51-200 employees
H1B Sponsorship
Saransh Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (51)
2023 (45)
2022 (30)
2021 (22)
2020 (39)
Funding
Current Stage
Growth StageLeadership Team
Sridhar Chimaladinne
FOUNDER & CEO
Company data provided by crunchbase