Business development executive

Job Summary:

We are looking for a highly skilled DevOps Engineer with proven expertise in managing infrastructure across multiple cloud platforms and deploying containerised applications using Kubernetes in production environments. The ideal candidate will have a deep understanding of DevOps principles, automation, CI/CD pipelines, and infrastructure as code (IaC), and be passionate about building scalable, secure, and highly available systems.

Key Responsibilities:

• Design, manage, and scale infrastructure across multi-cloud platforms (e.g., AWS, Azure, GCP).
• Develop and maintain Kubernetes clusters (EKS/AKS/GKE or self-managed) for production workloads.
• Implement containerization best practices using Docker and Helm.
• Automate application deployments using CI/CD pipelines
• Monitor and troubleshoot system performance, availability, and security using observability tools like Prometheus, Grafana, ELK, or Datadog.
• Write and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
• Ensure system reliability and scalability through auto-scaling, load balancing, and backup strategies.
• Collaborate with development and SRE teams to streamline DevOps workflows and improve deployment efficiency.
• Apply security best practices in cloud and container environments, including role-based access control (RBAC) and secrets management.
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Required Skills:

• Proficiency in AWS services.
• Experience with CI/CD tools and processes.
• Hands-on with Docker, Kubernetes, and IaC tools.
• Strong scripting skills (Bash, Python).
• Expertise in monitoring and logging tools.

Team Recruitment and Development: Building and nurturing a dynamic team through effective recruitment strategies and continuous development initiatives.

Operational Oversight: Managing daily operations to ensure efficiency and alignment with company objectives.

Sales and Client Service: Driving sales performance and ensuring exceptional service delivery to clients.

Strategic Planning: Implementing strategies to achieve business objectives and contribute to the company's growth.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

We're seeking a full-time, in-house employee to write Search Engine Optimized Website Content and social media. The ideal candidate must be able to write according to the language of different industries our company handles. Knowledge of writing articles, blog posts, press releases, website content pertaining to digital media.

AWS Data Engineer:

Job Description

• 3+ years of experience in AWS Data Engineering.

• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data

• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)

• Should have knowledge in SQL and NoSQL programming languages.

• Have worked on batch and real time pipelines.

• Excellent programming and debugging skills in Scala or Python & Spark.

• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.

• Must have experience in Production migration Process

• Nice to have experience with Power BI visualization tools and connectivity

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications

• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.

• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

Hands on experience in sourcing through job portals and referrals.

Good experience in IT or Non IT recruitment .

Willingness & ability to handle end to end recruitment including internal recruitment.

Should be able to handle multiple requirements simultaneously.

Comfortable with niche hiring & critical search assignments.

Interaction with the candidates and briefing them about the requirement.

Experience in handling walk-in drives.

Interaction with the clients.

Maintain all recruitment-related reports and forms

Should have good working knowledge in Microsoft Excel

Excellent command in verbal and written English.