Manager - Information services (Data entry & Market Research

Description :

About the Role :

We're seeking a dynamic and technically strong Engineering Manager to lead, grow, and inspire our high-performing engineering team. In this role, you'll drive technical strategy, deliver scalable systems, and ensure SolarSquare's platforms continue to delight users at scale. You'll combine hands-on technical expertise with a passion for mentoring engineers, shaping culture, and collaborating across functions to bring bold ideas to life in a fast-paced startup environment.

Responsibilities :

- Lead and manage a team of full stack developers (SDE1 to SDE3), fostering a culture of ownership, technical excellence, and continuous learning.

- Drive the technical vision and architectural roadmap for the MERN stack platform, ensuring scalability, security, and high performance.

- Collaborate closely with product, design, and business teams to align engineering priorities with business goals and deliver impactful products.

- Ensure engineering best practices across code reviews, testing strategies, and deployment pipelines (CI/CD).

- Implement robust observability and monitoring systems to proactively identify and resolve issues in production environments.

- Optimize system performance and cost-efficiency in cloud infrastructure (AWS, Azure, GCP).

- Manage technical debt effectively, balancing long-term engineering health with short-term product needs.

- Recruit, onboard, and develop top engineering talent, creating growth paths for team members.

- Drive delivery excellence by setting clear goals, metrics, and expectations, and ensuring timely execution of projects.

- Advocate for secure coding practices and compliance with data protection standards (e.g., OWASP, GDPR).

Requirements :

- 8 to 12 years of experience in full stack development, with at least 2+ years in a technical leadership or people management role.

- Proven expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js) and strong understanding of distributed systems and microservices.

- Hands-on experience designing and scaling high-traffic web applications.

- Deep knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration tools (Kubernetes).

- Strong understanding of observability practices and tools (Prometheus, Grafana, ELK, Datadog) for maintaining production-grade systems.

- Track record of building and leading high-performing engineering teams in agile environments.

- Excellent communication and stakeholder management skills, with the ability to align technical efforts with business objectives.

- Experience with cost optimization, security best practices, and performance tuning in cloud-native environments.

Bonus : Prior experience in established Product companies or experience with scaling teams in early stage startup and designing systems from scratch.

Work Arrangement :

- Flexible work setup, including hybrid options. Monday to Friday.

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

About the Role

Kim.cc is building the AI-powered BPO of the future. As a Prompt Engineer, you will design,

refine, and optimize prompt systems that power our LLM-driven features—across agent

assistance, QA automation, ticket summarization, customer insights, routing, and voice/chat

workflows.

You will work at the intersection of language, product logic, and AI behaviour, shaping

how our AI systems reason, respond, and perform in real-world customer support

environments.

Key Responsibilities

Prompt Design & Optimization

● Craft high-quality prompts, instructions, workflows, and agent behaviours for

LLM-based features.

● Build, iterate, and optimize prompts for reliability, accuracy, tone, safety, and cost.

● Develop evaluation frameworks to test performance across edge cases, failure

modes, and regressions to ensure robustness.

LLM System Development

● Work closely with AI engineers to integrate prompts into chains, RAG systems, or

hybrid models.

● Create prompt-based pipelines for tasks like:

○ Chat/voice summarization

○ Classification & tagging

○ QA automation

○ Disposition prediction

○ Agent-assist suggestions

○ Multi-step reasoning & workflows

Data & Evaluation

● Analyze call/chat transcripts to identify patterns and refine prompt logic.

● Run A/B tests, prompt benchmarks, and track quality metrics (accuracy,

hallucinations, latency).

● Document prompt changes, rationale, and performance deltas.

Cross-functional Collaboration

● Partner with product, ops, and engineering teams to understand workflows and

problem statements.

● Translate business requirements into robust prompt systems.

● Build internal frameworks, libraries, and best practices for prompt engineering.

What You Should Bring

● Strong command over language, reasoning, and structured communication.

● Experience working with LLMs, prompt engineering, or NLP-based products.

● Familiarity with OpenAI APIs, Anthropic, HuggingFace, LangChain, or similar

ecosystems.

● Analytical mindset with the ability to test, measure, and improve AI outputs.

● Ability to think through real-world workflows and edge cases.

● Comfort working in a fast-paced startup environment.

Nice to Have

● Experience with Python for prototyping or evaluation automation.

● Understanding of customer support workflows or BPO operations.

● Exposure to RAG, embeddings, or LLM fine-tuning.

● Prior work in conversational AI, chatbots, or dialogue design.

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

Responsibilities:

• Your primary responsibility as a senior backend engineer will be to architect and develop a scalable and robust micro-services backend with strong Java, Spring(Boot), SQL, AWS/GCP.
• Experience being part of a software development team in an Agile/Lean/Continuous Delivery environment
• Be a key performer in a high-performance product engineering team

Qualifications:

• 2 to 4 years of overall IT experience. Most of this experience in Java (Core Java, Spring boot, Java collections, Java Multithreading)
• Should have experience designing database schemas - SQL and NoSQL.
• Exposure to frameworks like Spring, Hibernate, Play would be a plus
• Experience with microservices architecture would be beneficial.
• Working knowledge of any public cloud (AWS, GCP or Azure)
• Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries
• Knowledge of container tech like Docker, Kubernetes would be a plus.
• Bachelor's Degree in Computer Science or Engineering.

• Strong in problem solving, algorithms and data structures
• Proficient in Python
• Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
• Experience with knowledge Graph or any graph based system is plus
• Able to train and deploy models
• Broad knowledge of machine learning algorithms and principles
• Performance profiling and Tuning
• Communicate and propose solutions to business challenges
• Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
• Keep abreast with the latest technological advances
• Team mentoring and leadership skills.

We require District Sales Manager for the Khurda District to carry out the sales activity, and the incumbent should be compatible to carry out the following activities. The candidate must be male, belonging to the respective district and having a sound knowledge about the area, district and block. He must have at least 4 years of experience with FMCG/Retail/Insurance sectors. 

• To appoint Block Sales Manager in all their blocks coming under their Districts.
• To create a super stock point in their district headquarters.
• To manage Sales operations in the assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct training to the sales team.
• To work with the team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.
• To contact potential customers and identify new business opportunities.
• To stay abreast of customer needs, market trends and competitors.
• To maintain clear and complete sales reports for management review.
• To build strong relationships with customers for business growth.
• To analyze sales performances and recommend improvements.
• To ensure that the sales team follows company policies and procedures at all times.
• To develop promotional programs to increase sales and revenue.
• To plan and coordinate sales activities for assigned projects.
• To provide outstanding services and ensure customer satisfaction.