Associate Product Manager

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

Requirements:

• Bachelor's degree in business management, marketing, or related field.

• 0 - 3 years' relevant work experience in business development or similar field preferred.

• Excellent written and verbal communication skills.

• Ability to handle multiple projects simultaneously and work under pressure.

• Proficient in Microsoft Office and relevant software.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends.

Shift Timing: 10 AM to 7 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/ Location: Vijayawada, Andra Pradesh

Language: English & Hindi 

Please apply on RemoteHub: (Instantly Apply)

https://www.remotehub.com/jobs/details/website-developer-needed-64dd152bedae3a632b1f415c

Write well designed, testable, efficient code by using best software development practices

Create website layout/user interface by using standard HTML/CSS practices

Integrate data from various back-end services and databases

Gather and refine specifications and requirements based on technical needs

Create and maintain software documentation

Be responsible for maintaining, expanding, and scaling our site

Stay plugged into emerging technologies/industry trends and apply them into operations and activities

Cooperate with web designers to match visual design intent

What you need to have:

Primary responsibilities :

Screening / Conducting interviews with engineering talent to :

1. Assess English communication skills (verbal and written)

2. Negotiating rates

3. Assess resumes, ensuring they meet Turing's standards

4. Keep a tight communication loop with software engineering candidates and maintaining

relationships with high-quality engineering talent.

5. Keeping candidates- info updated in Turing's platform.

6. Providing feedback and following up with candidates.

7. Monitor, audit, and grow Turing's engineering pipeline.

8. Working with the Vetting Operations team to refine Turing's outreach strategy and vetting process.

9. Identify, reach-out, and attract relevant professionals to drive the strategic growth of Turing's

engineering pipeline by working closely with engineering, sales, and matching teams to prioritize

sourcing strategy.

Experience:

Must have:

1. Experience in talent support roles is essential

2. Customer service experience and or HR experience.

3. Outstanding written and verbal communication skills, as well as perfect grammar and command of the English language.

4. Hungry for career growth

Hours : Must be willing to work i n South Asian time zones. Most of our engineers are from South

America, Europe, Africa, and South Asia. In order to get on calls with them, they'd need to be able to work between UTC-5 to UTC+5. Calls usually happen between 3:30 PM - 00:30 am in Indian

Timings.

Nice to have:

1. At l east 2 years of experience sourcing or recruiting technical talent with a proven track record of success. Knowledge and experience of the recruiting cycle.

2. Engineering Degree preferred

3. Previous remote working experience

4. An eye for talent and a strong understanding of the differences i n knowledge and expertise

between highly-skilled developers and average talent.

5. Formal or informal experience teaching English preferred

Key qualities:

1. Great English speaker :

- The ability to assess other peoples English communications skills

- Grammar

- Vocabulary

- Accent

- Diction

- The ability to express and communicate complex information clearly and effectively.

- The person would get on a video call, onboarding engineers to the platform.

2. Persuasive and empathetic :

- Some engineers aren't completely sold on joining Turing yet, and so this person would need to

explain the benefits of joining the Turing platform.

- This person would need to provide developer support over emails.

- Conflict resolution

- Create an inviting atmosphere, make the developer feel comfortable.

3. Can negotiate :

- If the engineer's salary ask is too high, the engineer would not be hired by us or our clients.

Therefore, this person would need to set the right expectations for a win-win solution here.

- We have a negotiation script that recommends how much each person should be paid based on

location, and the person can use this to negotiate.

4. Team Work :

- Ability to work under pressure and adhere to tight deadlines while keeping quality.

- Ability to communicate clearly and constantly with teams via Slack and other collaboration tools.

5. Process-driven/methodical :

- Strong attention to detail.

- Problem solver and can easily identify areas of improvement

Our team will be in touch if your qualifications match our needs for this role. Thanks again for considering us in your career.