AI/ML & Data Engineer - Solutions & Business Development

Devsinc, LLC; Punjab; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Devsinc, LLC in Punjab, India is seeking a highly skilled AI/ML & Data Engineer who can design, deploy, and scale AI/ML solutions while engaging with clients to understand requirements and drive opportunities toward closure.

You will work hands-on with Python, SQL, data pipelines, and cloud platforms, develop data warehouses and ETL workflows, present architectures to stakeholders, and help convert opportunities into successful projects with a strong business focus.

Qualifications

• 3–5 years of relevant professional experience in AI/ML or data engineering.
• Strong hands-on experience with Python, SQL, and cloud technologies.
• Experience working on client-facing AI/ML projects.
• Excellent communication and negotiation skills.
• Ability to translate client requirements into technical solutions.

Responsibilities

• Design, develop, and deploy scalable AI/ML and data engineering solutions.
• Engage directly with clients to understand business challenges.
• Lead technical discovery calls, presentations, and demos.
• Prepare technical proposals, solution architectures, and SOWs.
• Collaborate with Sales to identify and close opportunities.
• Ensure successful handover to delivery teams.

Skills

Python

SQL

Machine Learning

Data Engineering

APIs

Cloud platforms

Generative AI

LLMs

NLP

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Tools

Generative AI frameworks

Data processing frameworks

ETL/ELT tools

Databases

Job description

We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.

Requirements

1. Design, develop, and deploy scalable AI/ML and Data Engineering solutions.
2. Work hands-on with Python, SQL, machine learning, data pipelines, APIs, databases, and cloud platforms.
3. Develop solutions using Generative AI, LLMs, RAG, NLP, predictive analytics, and AI/ML frameworks.
4. Design and implement data warehouses, data lakes, ETL/ELT pipelines, and data processing solutions.
5. Evaluate technical requirements and recommend the most appropriate architecture, tools, and technologies.
6. Engage directly with clients to understand their business and technical challenges.
7. Lead technical discovery calls, presentations, solution discussions, demos, and POCs.
8. Prepare technical proposals, solution architectures, project scopes, estimates, and SOWs.
9. Work closely with Sales and leadership to identify, develop, and close new project opportunities.
10. Address technical objections and communicate complex solutions in a clear, business-focused manner.
11. Build strong client relationships and identify opportunities for upselling and long-term engagements.
12. Collaborate with engineering and delivery teams to ensure successful project handover and execution.

Qualification

1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
2. 3-5 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or a related domain.
3. Strong hands-on technical expertise with Python, SQL, Machine Learning, Data Engineering, and Cloud technologies.
4. Proven experience working on AI/ML and data-driven projects, preferably in a client-facing environment.
5. Strong communication, presentation, problem-solving, and negotiation skills.
6. Ability to understand client requirements, propose technical solutions, and contribute to winning and closing projects.

Required Skills

1. Strong hands-on technical and problem-solving capabilities.
2. Excellent verbal and written communication skills.
3. Strong client-facing, presentation, negotiation, and stakeholder-management skills.
4. Ability to translate technical solutions into clear business value.
5. Proven ability to take ownership of opportunities and drive them from discovery to closure.
6. Commercially driven, proactive, and comfortable working with both technical and business stakeholders.